About Us

The Association for Health Learning and Inference (AHLI) is a not-for-profit organization dedicated to building an transdisciplinary machine learning and health community. AHLI works with its partners to advance health data quality and access, knowledge discovery, and meaningful use of complex health data. AHLI was founded in September 2021 with generous support from Schmidt Futures.

Conferences

Machine Learning for Health (ML4H) Symposium: November 28, 2022 in New Orleans, LA, USA
Conference on Health, Inference, and Learning (CHIL): June 22 - 24, 2023 in Cambridge, MA, USA

Datathons

Predicting High Risk Breast Cancer: a Nightingale OS & AHLI data challenge: June 1 - December 21, 2022, Virtual

Governance and Leadership

The AHLI Board of Directors comprises a group of accomplished researchers, academics and scientists who provide guidance and visionary thinking to advance the field of machine learning for health.

Marzyeh Ghassemi
Marzyeh Ghassemi

Massachusetts Institute of Technology

Brett Beaulieu-Jones
Brett Beaulieu-Jones

University of Chicago

Tristan Naumann
Tristan Naumann

Microsoft Research Seattle

Emily Alsentzer
Emily Alsentzer

Harvard University and MIT

Andrew Beam
Andrew Beam

Board Member

Danielle Belgrave
Danielle Belgrave

Board Member

Judy Gichoya
Judy Gichoya

Emory University

Joyce Ho
Joyce Ho

Emory University

Stephanie Hyland
Stephanie Hyland

Microsoft Research Cambridge

Alistair Johnson
Alistair Johnson

The Hospital for Sick Children

Sanmi Koyejo
Sanmi Koyejo

University of Illinois at Urbana-Champaign and Google Research

Matthew McDermott
Matthew McDermott

Massachusetts Institute of Technology

Ziad Obermeyer
Ziad Obermeyer

University of California, Berkeley


info@ahli.cc

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